Role to design, implement, tune and maintain large-scale HPC/AI clusters (monitoring, logging, alerting), manage job scheduling/orchestration (e.g., Slurm, K8s), develop CI/CD and automation tooling, and troubleshoot from bare metal to application. Requires 8+ years experience and knowledge of CPUs/GPUs, high-speed interconnects, Linux/Windows internals, storage solutions (Lustre, GPFS, Weka.io), networking protocols and virtualization/cloud platforms.

Technical lead role partnering with EMEA AI-native customers to design, train and deploy multimodal AI solutions (document intelligence, personalization, image/video analysis). Requires hands-on experience with training and optimizing VLMs/omni models, NVIDIA stack (TensorRT-LLM, NeMo, RAPIDS) and 7+ years in applied AI/ML. Poland base salary range provided (292,500–507,000 PLN).

Senior Solutions Architect role focused on large-scale distributed training and alignment of neural networks (including MoE models). Responsibilities include advising on NVIDIA's training stack (e.g., Nemotron), designing training/post-training infrastructure and workflows, optimizing GPU/HPC training efficiency, and collaborating with customers and NVIDIA product/research teams.

Hands-on role guiding EMEA AI-native companies to train and deploy diffusion/image/video/multimodal models on NVIDIA accelerated stack. Responsibilities include architecture guidance (DiT, UNet, flow matching), single- and multi-GPU optimization, memory and attention bottleneck analysis, codec-aware video preprocessing and tokenization, and contributing technical feedback and demos. Requires MS/PhD or equivalent experience and 5+ years in AI/ML with strong computer vision and diffusion-model expertise. Poland base salary range explicitly listed: 292,500 PLN–507,000 PLN (annual).

NVIDIA seeks a Senior AI Compute Engineer to work with customers, partners and internal teams to plan, deploy and support large AI factory systems. Responsibilities include Linux-based system administration, data center networking and monitoring, automation/scripting, troubleshooting hardware and software issues, creating handover documentation and knowledge transfers. Requires a bachelor’s degree or equivalent and 8+ years of data center support and deployment experience; excellent English communication skills. Kubernetes, NVIDIA/AI infrastructure experience and industry data center certifications are listed as desirable.

You will author merged PRs and build integrations (libraries, agent frameworks, MCP servers, automation platform connectors) so developers and AI agents can access SearchApi. Required: proven merged open-source contributions in repos you don't own, fluency with Ruby/Python/TypeScript and at least one agent/automation framework, and strong written English for docs and PRs.

NVIDIA seeks a Solutions Architect to work with customers and internal teams to evaluate, benchmark, and improve LLMs, VLMs, embedding models, and agentic pipelines. Responsibilities include driving adoption of NVIDIA evaluation tools (NeMo, Eval Harness, NVIDIA Evaluation Microservice), building proofs-of-concept, analyzing failures and mitigation strategies (model selection, retrieval optimization, fine-tuning), and collaborating with engineering, product, and sales. Requires MS/PhD or equivalent and 5+ years' hands-on experience building and evaluating deep neural networks; strong English communication skills.